{"id":"W2167062933","doi":"10.1016/j.anifeedsci.2008.06.011","title":"Use of real-time PCR to predict dry matter disappearance of individual feeds in a total mixed ration","year":2008,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Dry matter; Digestion (alchemy); Rumen; Ruminant; Chemistry; Animal science; Total mixed ration; Starch; Food science; Agronomy; Biology; Chromatography; Crop","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006306391,0.0005271977,0.0005953027,0.0005635263,0.0002093291,0.0006079928,0.0003005567,0.0004508621,0.0004126962],"category_scores_gemma":[0.001020812,0.0003798278,0.0002983644,0.0004617005,0.0003532096,0.0003223929,0.0001375317,0.0005419698,0.000264616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002662567,"about_ca_system_score_gemma":0.0002190269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451621,"about_ca_topic_score_gemma":0.001431532,"domain_scores_codex":[0.9995596,0.00006844112,0.00002029017,0.0002146989,0.0001118092,0.00002529042],"domain_scores_gemma":[0.9989667,0.0006677774,0.0001330661,0.00003473087,0.000149319,0.00004843132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002372875,0.0003077703,0.08559304,0.00008196386,0.0001433825,0.0000669627,0.0001530346,0.001556298,0.8801696,0.00007830778,0.00008668047,0.02939004],"study_design_scores_gemma":[0.0001092735,0.003225991,0.2954578,0.00003030037,0.0004202478,0.0009762159,0.0002314723,0.0859253,0.6119795,0.0003193584,0.001248352,0.00007614928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729048,0.0004780185,0.02532756,0.00003763846,0.00005200218,0.00004563923,0.0005468021,0.0001301262,0.0004774176],"genre_scores_gemma":[0.9178308,0.0003421908,0.07929539,0.0001220191,0.00001947974,0.0001672228,0.0007974418,0.00003720096,0.001388223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007451621,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274277462786716,"score_gpt":0.2260675358343449,"score_spread":0.2133247612064778,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}